监控: nvidia-smi
创建镜像: docker build -t keras-yolo3_tf:1.0 -f keras-yolo3_Dockerfile .
运行容器CPU:
bridge集群独立
docker run --network bridge -p 6006:6006 -p 23:22 -v /home/zy/workspace/docker_workspace_01/keras-yolo3-master:/home/zy/workspace/docker_workspace_01/keras-yolo3-master -dit --name ky0.3 keras-yolo3:0.3
host可以连外网
docker run --network host -v /home/zy/workspace/docker_workspace_01/keras-yolo3-master:/home/zy/workspace/docker_workspace_01/keras-yolo3-master -dit --name ky0.3 keras-yolo3:0.3
交互容器
docker exec -it ky0.3 /bin/bash
运行容器GPU:
bridge集群独立
nvidia-docker run --runtime=nvidia --network bridge -p 6007:6006 -p 24:22 -v /home/zy/workspace/docker_workspace_01/keras-yolo3-master:/home/zy/workspace/docker_workspace_01/keras-yolo3-master -dit --name ky0.3-gpu keras-yolo3:0.3-gpu
host可以连外网
nvidia-docker run --runtime=nvidia --network host -v /home/zy/workspace/docker_workspace_01/keras-yolo3-master:/home/zy/workspace/docker_workspace_01/keras-yolo3-master -dit --name ky0.3-gpu keras-yolo3:0.3-gpu
交互容器
nvidia-docker exec -it ky0.3-gpu /bin/bash
训练: python train2.py
测试: python yolo_video_opencv.py --model_path /home/zy/workspace/docker_workspace_01/keras-yolo3-master/logs/PIL_111/ep260-loss68.298-val_loss83.504.h5 --input /home/zy/workspace/docker_workspace_01/keras-yolo3-master/VOCdevkit/VOC2007/JPEGImages/1_original_img_0.jpg --image
scp -P 23 [email protected]:/home/zy/.bashrc /home/zy/
Content type
Image
Digest
Size
1.6 GB
Last updated
over 6 years ago
docker pull robin990/keras-yolo3:0.3-gpu